Nonlinear modeling of dynamic interactions within neuronal ensembles using Principal Dynamic Modes

@article{Marmarelis2012NonlinearMO,
  title={Nonlinear modeling of dynamic interactions within neuronal ensembles using Principal Dynamic Modes},
  author={Vasilis Z. Marmarelis and Dae C. Shin and Dong Song and Robert E. Hampson and Sam A. Deadwyler and Theodore W. Berger},
  journal={Journal of Computational Neuroscience},
  year={2012},
  volume={34},
  pages={73-87}
}
A methodology for nonlinear modeling of multi-input multi-output (MIMO) neuronal systems is presented that utilizes the concept of Principal Dynamic Modes (PDM). The efficacy of this new methodology is demonstrated in the study of the dynamic interactions between neuronal ensembles in the Pre-Frontal Cortex (PFC) of a behaving non-human primate (NHP) performing a Delayed Match-to-Sample task. Recorded spike trains from Layer-2 and Layer-5 neurons were viewed as the “inputs” and “outputs… CONTINUE READING